[Seminar] “Functional Benefit of Plastic Spiking Neural Networks for Information Processing" by Dr. Huang

Speaker: Dr. Xuhui Huang
Title: Functional Benefit of Plastic Spiking Neural Networks for Information Processing
Date: June 17th, 2019 - 10:00 to 11:00
Location: C016,  Lab1

[Seminar] “On the way to the automated discovery of novel patterns and dynamics in physical and chemical systems by intrinsically motivated deep learning. ” by Dr. Reinke

Speaker: Dr. Chris Reinke
Title: On the way to the automated discovery of novel patterns and dynamics in physical and chemical systems by intrinsically motivated deep learning.
Date: May 30th, 2019 - 14:00 to 15:00
Location: B503,  Lab1

[Seminar] "Bayesian Inference and Experimental Design for Implicit Models" by Dr. Michael Gutmann

Speaker: Dr Michael Gutmann

               School of Informatics, University of Edinburgh

Title: Bayesian Inference and Experimental Design for Implicit Models

"Network architecture underlying sparse neural activity characterized by structured higher-order interactions", Hideaki Shimazaki, Kyoto University

Dr. Hideaki Shimazaki, Program-specific Associate Professor at Kyoto University

"Sharp-wave ripple production and coordination in sleeping dragons"by Dr. Hiroaki Norimoto, MPI for Brain Research

Speaker: Dr. Hiroaki Norimoto
Lab for Neural Systems, Max Planck Institute for Brain Research

Title: Sharp-wave ripple production and coordination in sleeping dragons

Neural Computation Workshop 2019

Neural Computation Unit will hold a retreat/reunion at Seaside House. If you are interested in joining, pleaese contact ncus@oist.jp

[Seminar] "An automated high-throughput image processing pipeline for the extraction of structural connectivity from marmoset brain images", Dr. Skibbe

Language: English

[Seminar 2] "Adaptive nonlinear control and learning dynamics with spiking networks" by Dr. Slotine

Speaker: Prof. Jean-Jacques Slotine
Massachusetts Institute of Technology
Title: Adaptive nonlinear control and learning dynamics with spiking networks

[Seminar 1] "Collective computation and learning in nonlinear networks" by Dr. Slotine

Speaker: Prof. Jean-Jacques Slotine
Massachusetts Institute of Technology

Deep Reinforcement Learning by Parallelizing Reward and Punishment using the MaxPain Architecture, Dr. Jiexin Wang

Dr. Jiexin Wang, a researcher at the department of Brain Robot Interface, ATR Computational Neuroscience Laboratories.